Parameterize AWQ config, device in unit test #3000
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Introduce a prototype AWQ/SmoothQuant benchmark within lm_eval (vLLM). Related Issue/PR: pytorch#2815 Test plan: A toy tokenizer model is introduced to validate `TransformerEvalWrapper`. Toy linear models are updated to be compatible with the tokenizer model. Updated unit tests (`test_awq.py` and `test_smoothquant.py`) address the above changes. Future plan: This PR doesn't address latency and consumption. We need to expand metrics for comprehensive benchmarks within AWQ/SmoothQuant.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3000
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Removed the tokenizer because too many errors made it reproducible, mostly dispatch errors; please check the updated overview. |
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Summary:
Update parameter
device_to_base_configsto@parametrize("device,base_config", configs)format to make it better structured.Test plan:
test/prototype/test_awq.py
Future plan:
AWQ/SmoothQuant benchmark within the vLLM ecosystem. See #2815 for more info